Adobe · 7 hours ago
Lead Customer Facing Applied AI Engineer
San Jose, CA
Full-time
Hybrid
Lead/Staff
$139K/yr - $258K/yr
8+ years expAdobe is a company dedicated to changing the world through digital experiences. They are seeking a Lead Customer Facing Applied AI Engineer to act as a technical ambassador, bridging the gap between product engineering and real-world implementation, while collaborating with global industry leaders to maximize customer success.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Implement A2A integration patterns (APIs, webhooks, event streams, connectors) so customers can plug our AI capabilities into their existing applications and workflows
Create reusable SDKs, templates, and reference implementations that reduce friction for customers adopting our AI features
Act like a data analyst for model behavior:
Query logs and metrics (SQL, notebooks, dashboards) to understand how models and prompts are performing in production
Investigate failure modes, edge cases, and drift (e.g., low-quality responses, latency spikes, low adoption)
Segment metrics by customer, cohort, use case, or configuration to find patterns and opportunities
Design and maintain evaluation pipelines for AI features:
Define success metrics and guardrails
Set up offline and online evaluation (test sets, acceptance thresholds, user rating flows, A/B tests)
Instrument AI features with strong observability and testing:
Logging of inputs/outputs with privacy in mind
Traces/timelines of model calls, retrieval steps, and downstream effects
Dashboards and alerts for quality, performance, and usage
Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks
Work with customer-facing teams (Customer Success, Solutions, Forward Deployed) to:
Turn customer feedback and production data into prioritized improvements
Provide clear, data-backed insights on what’s working, what’s not, and why
Join customer calls and workshops to:
Understand their systems, integration constraints, and success criteria
Guide them on how best to use our APIs, SDKs, and observability tools
Act as a bridge between customer needs and internal product/engineering, ensuring what we build is usable, measurable, and scalable across many customers
Qualification
Required
8+ years of software engineering experience with 2+ years working with ML/AI or LLM-based applications
An inventive mind that is looking for the best solutions to the most interesting problems. This involves a build-first mentality that seeks answers in the practical application
A strong sense of mentorship and team building to grow everyone's roles
Current understanding of the state of AI and are aggressively keeping up on the latest developments. You should be able to articulate the benefits of different architectural options
Expertise in Python, including hands-on work with PyTorch or similar frameworks (TensorFlow, JAX, etc.)
Familiarity with A2A (application-to-application) integration patterns: REST/gRPC APIs, webhooks, queues, or event-driven systems. Authentication, rate limits, and basic reliability patterns
Comfortable with data-analyst-style work: Writing SQL and working with analytics tools/notebooks. Building or interpreting dashboards (e.g., metrics for model quality, latency, usage). Turning data into clear, actionable recommendations
Be willing to dive into implementation with a customer to make sure they are maximizing their use of AI
Experience with at least one cloud platform (AWS / GCP / Azure) and standard dev tooling (Git, CI/CD, Docker)
Exposure to LLM applications (RAG, agents, prompt pipelines) and their evaluation
Experience with logging/observability stacks (e.g., OpenTelemetry, Prometheus/Grafana, Datadog, etc.)
Familiarity with MLOps/LLMOps concepts: evaluation harnesses, prompt/version management, feature flags, or canary rollouts
Proficiency in Java/Scala, along with associated frameworks
Proven track record of shipping production features and iterating based on real-world feedback
Strong communication skills with the ability to explain technical details and data insights to customers and non-ML stakeholders
Comfortable with 10%-25% travel to build relationships with customers
Preferred
Published technical writing or other communication
A background in SaaS software
Prior work in customer-facing technical roles or close collaboration with Customer Success / Solutions / Forward Deployed Engineering teams
Marketing or CRM domain knowledge
Benefits
Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1026)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
2025-12-30
Morningstar.com
2025-12-29
Company data provided by crunchbase